Company Performance Metrics
Organizations are struggling to do proper information security monitoring for a variety of reasons: growing complexity of their infrastructure; the sheer number of unqualified alerts; and the shortage and high cost of qualified personnel. The reality is that monitoring teams are overloaded and overworked. Giving the analysts even more data sets and
more tools that require them to do manual exploration or to write, test and maintain searches or detection rules will most likely only aggravate that problem.
The Niddel Magnet solution applies supervised machine learning and data science concepts to automate at scale the kind of decisions that human analysts make, streamlining their workload. It's a force multiplier of security teams that automates the detection of compromised machines, helping organizations eliminate irrelevant alerts and find new interesting investigation leads without the need of existing signatures, searches or detection rules. Thus, it allows the existing security monitoring teams to focus on higher level investigation, incident response and mitigation tasks.
